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Since 2010, deep learning has been further developed, and the concept of multi-modality has penetrated into all walks of life. However, it has not been fully researched and applied in college English teaching, so this study modeled and practiced the multimodal teaching method of college English under the deep learning mode and its application. The definitions of modality and medium are first introduced, and then the definition of multimodality in this study is clarified. Then the classification of multimodal transport is expounded. The random forest algorithm is chosen as the main algorithm of this research, and a dynamic multimodal model is established. After that, there was a collaboration with a university and sophomore students were selected for practice. After processing and analyzing the collected data, it was found that in the data sample of 268 students, the number of students who did not study independently accounted for 24%, which indicates that most college students lack interest in learning English. Preliminary tests were also conducted on students' English proficiency throughout the year, and the results showed that the students' English proficiency was at a pass level and the overall English proficiency was weak. Reassessment of students' English proficiency showed that the actual teaching effect of each English proficiency was greater than 85%, and the effectiveness of English teaching in the selected universities was significantly improved. The average score improved by 8 points, indicating that multimodal teaching is scientifically effective After a semester of multimodal teaching, the English teaching effectiveness of the university selected in this article has significantly improved. The research results indicate that the development of deep computer learning has introduced multimodal concepts into the teaching field, which is very suitable for assisting language learning based on its own advantages. After a semester of multimodal teaching, the English teaching effectiveness of the university selected in this article has significantly improved. The research results indicate that the development of deep computer learning has introduced multimodal concepts into the teaching field, which is very suitable for assisting language learning based on its own advantages.

To date, with the everyday growth of technology and the increase of online classes, busy modern teachers seek to lighten their burdens and boost their learners’ autonomy. Thus, this multi-method action research aimed to probe the differences between receiving computer-generated and direct corrective feedback (CF) on the syntactic accuracy and complexity of female adolescent Iranian EFL learners’ writing. Two intact classes took part in the study; one group (Group C) received CF from an AWE (Automated Writing Evaluation) tool, called Ginger software, and the other group (Group T) received CF from their teacher. Subject-verb agreement and verb form errors were considered to measure the syntactic accuracy while the average sentence length and verb form variation were regarded as the syntactic complexity. Moreover, via a questionnaire, the students’ perceptions of the kind of CF they had received were taken into account to see which one was more effective. Findings obtained from MANOVA revealed that both groups made significant improvements regarding syntactic accuracy. Group C produced more complex outputs after being exposed to the treatment while Group T didn’t make such progress. The results obtained from the questionnaire also indicated that both groups found the CF satisfactory. However, Group C held more positive attitudes. Not only was the Ginger application effective in decreasing the number of students’ writing errors but also it motivated them to be better writers and write more. The study further points to the likely merits of technology-enhanced feedback in improving EFL learners' writing ability in general, and their written syntactic accuracy/complexity in particular.

Motivation and affect as two salient variables in L2 development are no longer seen as the stable individual difference factors they were once believed to be. Influenced by process-oriented approaches and by increasing understanding of how the complex dynamic system theory (CDST) works, researchers have been emphasizing the holistic, non-modular, dynamic and changeable nature of motivation and affect to-date. Accordingly, this study utilized the principles underlying the CDST perspective to examine the interrelationships between Iranian EFL learners’ motivational and affective factors mediated by working memory and gender over an academic semester. To this end, 445 pre-intermediate male and female students completed the motivation questionnaire and L2 Enjoyment Scale four times with one-month intervals during an academic semester and Working Memory Scale once in the beginning of the term. Relationships that emerged indicated both motivational and affective stability and fluctuation over a semester of instruction at one month intervals. The findings also illustrated how these factors are inseparable from students’ learning context. Implications of study and directions for further research were also discussed.

The present study aimed to analyze English as Foreign Language (EFL) teachers and students’ perceptions on learning effectiveness, negative factors, positive features, and future directions of virtual education. The data were collected through semi-structured interviews, open-ended questions, and journals. All the data were carefully studied and coded through MAXQDA (version 2020) software. The results indicated that poor internet connection along with low interaction between students and the teacher were the most frequently noted negative points of online classes. Accordingly, providing high-speed internet, supporting students, and having more interaction are the first essential elements in virtual education. Besides, flexibility, time-saving, and reduced cost considerations were considered the positive aspects of online classes. Regarding students’ learning performance, the results were of mixed nature. Providing training courses for teachers, using different materials during the class, and the most importantly having high-speed internet are some implications of this study.

The current study aimed to explore the effectiveness of a process based reflective teacher training course that utilized situational role plays, video analysis, and scenario evidence as guided reflective and caring practices for EFL (English as a Foreign Language) teacher candidates. To this end, 45 teacher candidates at a teacher education university in Iran participated in a semi-structured interview (pre-intervention and post-intervention interview) and created process-oriented narrative journals documenting their reflective and caring practices. The findings of the study indicated that all the three groups of participants (role play group, scenario-based evidence group, and video evidence group) benefitted from the course and demonstrated improvement in various ways. The emerged themes from each group (role play group: 23 categories, video group: 17 categories, and scenario-based evidence group: 16 categories) illustrated how these strategies supported teacher candidates in developing their caring and reflective practices.

Predicting students’ performance in a course is one of the major aims of educational data mining systems. In the present study, two and three-layer artificial neural networks (ANN) and neuro-fuzzy systems (NFS) were used to predict Iranian EFL learners’ final scores and compare them with scores given by their instructor. Sixty-six students’ scores in an English reading comprehension course comprising of five sub-scores of midterm (out of 40), quiz (out of 60), final (out of 50), class participation (out of 5) and bonus (out of 2) were used for training the systems. Two and three-layer ANNs and an NFS were trained to predict students’ final scores using training data. Researchers compared the students’ final scores given by their instructor and those achieved through the ANNs and NFS. The results showed that the NFS could predict and deliver scores that were closer to the linear sum of students’ scores. Moreover, three-layer ANN had a better performance than the two-layer ANN. According to these results, data mining techniques could deliver an accurate estimate of students' abilities in a particular course.

The current study primarily explored the link between EAP students’ L2 situational interest (SI) and academic reading transformative engagement (TE). Moreover, it explored SI and its subcomponents, triggered SI and maintained SI as predictors of TE. We also sought the role of different disciplines as moderators of the relationship between SI and TE. Finally, we investigated the big five personality traits as predictors of TE. The participants of this study were 160 undergraduate EAP students recruited through quota sampling. A quantitative research method with a correlational design was employed to conduct the study. Two questionnaires were adopted to measure academic reading TE and personality traits, and a questionnaire was adapted from math SI to English learning SI to assess the students’ L2 SI. The results revealed a significant and positive relationship between students’ L2 SI and their academic reading TE. SI significantly predicted TE, and between its subcomponents, only maintained SI strongly and significantly predicted TE. Neither the difference between the disciplinary groups in terms of students’ TE nor the interaction of the comparative disciplinary groups by SI was significant. The result indicated the agreeableness trait as the sole predictor of TE. Our findings have fruitful pedagogical implications discussed in the conclusion section.

In the present study, we analyze the semantic fragmentation and conventionalization in Persian compound nouns ending in the verbal stems –andāz ‘throw’, -band ‘fasten/close,’ -foruš ‘sell’, -gir ‘catch’, -keš ‘pull’, -paz ‘cook’, -yāb ‘find’, and -zan ‘hit’ from the usage-based perspective. The analysis is based on a 800 data set extracted from diachronic and synchronic corpora. The words produced from the general compounding pattern [XV PRS]N can be categorized in a range of semantic categories, including agent, instrument, location, and object. In describing the semantic fragmentation of [XV PRS]N, we propose the human agent as the starting meaning, from which the instrument sub-pattern is derived by the mechanism of metaphorical extension. However, to justify the object and location meanings, we consider the metonymic extension mechanism to be involved. The sense extension mechanisms do not only apply to the individual words but can happen on the pattern level. It is also argued that these mechanisms are not mechanically applied to all the patterns ending in the verbal stems, instead, it is the usage and the communicative needs of the speakers that determine the semantic fragmentation of any patterns. To illustrate this point, as a case study, we focus on the development of instrument meaning in the pattern [X-paz PRS]N. We show that the instrument sub-pattern is a recent linguistic phenomenon that coincides with the introduction of modern cooking equipment with mostly English names to Iranian society. The increasing use of these types of equipment has led to a new communicative need for naming such instruments. This extra-linguistic factor has motivated the pattern [X-paz PRS]N to be extended through analogy with English compound instrument nouns. The findings of this study may contribute to the understanding of word-formation patterns in general and compounding patterns in particular.

This study explores how professional and student writers manifest their authorial identities and project their gender voices in their academic texts. To this end, 38 male-authored and 38 female-authored articles published in seven leading international journals were selected. Moreover, 38 articles written by male students and 38 articles authored by female students were collected from two universities in Iran. Taking an academic writing course, these students handed in their papers as term projects. These academic writings were analyzed based on Hyland’s metadiscourse framework comprising two major resources: interactional and interactive metadiscourse resources. The findings indicated the male authors mainly attended to discourse organization using more interactive resources while the female authors mostly solicited solidarity by employing more interactional resources. The professional authors engaged in a more critical stance using self-mentions and attitude markers and the students focused on discourse organization. Attitude markers and self-mentions, as markers of stance-taking, were absent in the students’ writing. The professional authors made use of their gender identity to promote their authorial identity instead of suppressing it. These results suggest that EAP programs should inform students how to employ both metadiscourse resources and their gender-based discourse choices to express their authorial identity more effectively.

This study investigated the interplay of working memory capacity and language proficiency in the context of vocabulary acquisition through word-focused tasks. The involvement load hypothesis served as a theoretical framework, positing that the degree of cognitive engagement influences lexical learning outcomes. A total of 100 EFL learners participated in this study. They were divided into distinct groups based on varying levels of working memory capacity, language proficiency, and aspects of working memory (phonological short-term memory and executive working memory). The participants engaged in receptive and productive vocabulary tasks under different experimental conditions, including reading-only, reading plus blank-fill, and reading-plus production. The results revealed intricate relationships between working memory capacity, language proficiency, and vocabulary acquisition. While the efficacy of the hypothesis varied across conditions, its predictions were influenced by the nuances of individual cognitive capabilities and language competence. Learners with higher proficiency levels acquired more lexical items, both receptively and productively.  Although the difference with the phonological short-term memory was not significant, executive working memory was more facilitative of lexical gain. Additionally, the role of input modality in shaping vocabulary learning outcomes was highlighted. That is, reading plus production and blank-fill tasks resulted in more lexical gain than reading-only tasks.  The study contributes to the theoretical understanding of vocabulary acquisition by underscoring the complex interplay of cognitive processes and language factors. These insights hold implications for foreign language pedagogy, guiding educators in crafting more effective interventions for enhancing both receptive and productive lexical knowledge.